Comilla University | Faculties of Comilla University

Dr. Md.Saifur Rahman

Associate Professor

Comilla University
Comilla University
Cumilla-3506, Bangladesh

saifurice@cou.ac.bd

+8801312571157

Biography
Qualification
Publication
Research Interest

Dr. Md. Saifur Rahman currently serving as an Associate Professor in the Department of Information and Communication Technology, Comilla University where he joined as a Lecturer in the Department of Information and Communication Technology, Comilla University in 2012. He received his Ph.D. degree in the field of speech processing at the Graduate School of Science and Engineering in Saitama University, Japan. His research interests include speech analysis and digital signal processing and its applications to wireless communications.

Education Qualification
Job Experience

PhD	Saitama University, Saitama	Doctor of Philosophy	-
M.Sc.	University of Rajshahi (RU)	Information and Communication Engineering (ICE)	-
B.Sc. (Bachelor of Science)	University of Rajshahi (RU)	Information and Communication Engineering (ICE)	-
H.S.C (Higher Secondary School Certificate)	Kushtia Government College, Kushtia.		-
S.S.C (Secondary School Certificate)	V.J Government High School, Chuadanga.		-

Dept. of Information and Communication Technology Comilla University Cumilla - 3506., Bangladesh Associate Professor November 2020 - Present
Dept. of Information and Communication Technology Comilla University Cumilla - 3506., Bangladesh Assistant Professor July 2015 - November 2015
Dept. of Information and Communication Technology Comilla University Cumilla - 3506., Bangladesh Lecturer July 2012 - July 2012

1.	13.Fundamental Frequency Extraction of Noisy Speech Using Exponent Enhancement in Weighted Autocorrelation October 2021 Md. Saifur Rahman, Miss. Nargis Parvin, “Fundamental Frequency Extraction of Noisy Speech Using Exponent Enhancement in Weighted Autocorrelation”, Advances in Intelligent Systems and Computing, Springer, Vol. 1408, October 2021.
2.	12.Red-AODV: A Prevention Model of Black Hole Attack for VANET Protocols and Identification of Malicious Nodes in VANET 2021 Md. Tofael Ahmed, Amina akhter rubi, Md. Saifur Rahman, Maqsudur Rahman, “Red-AODV: A Prevention Model of Black Hole Attack for VANET Protocols and Identification of Malicious Nodes in VANET”, International Journal of Computer Networks and Applications (IJCNA) Vol. 8, Issue 5, 2021.
3.	11.Rating Prediction of Product Reviews of Bangla Language using Machine Learning Algorithms April 2021 Md. Iqbal Hossain, Maqsudur Rahman, Md. Tofael Ahmed, Md. Saifur Rahman, A Z M Touhidul Islam, “Rating Prediction of Product Reviews of Bangla Language using Machine Learning Algorithms”, IEEE Proc. on Artificial Intelligence and Mechatronics Systems (AIMS), April 2021.
4.	10.Pitch Extraction using Fourth-root Spectrum in Noisy speech 2020 Md. Saifur Rahman, Yosuke Sugiura and Tetsuya Shimamura, “Pitch Extraction using Fourth-root Spectrum in Noisy speech”, Journal of Signal Processing, Vol. 24, No. 5, pp. 207-222, 2020.
5.	09.Utilization of Windowing Effect and Accumulated Autocorrelation Function and Power Spectrum for Pitch Detection in Noisy Environments 2020 Md. Saifur Rahman, Yosuke Sugiura and Tetsuya Shimamura, “Utilization of Windowing Effect and Accumulated Autocorrelation Function and Power Spectrum for Pitch Detection in Noisy Environments”, IEEJ Trans Electrical and Electronic Engineering, 2020, Wiley Online Library (wileyonlinelibrary.com).
6.	08.Pitch Extraction Using Half-wave Rectification in Narrow-Band Noise 2020 Md. Saifur Rahman, Miss. Nargis Parvin, “Pitch Extraction Using Half-wave Rectification in Narrow-Band Noise”, International Journal of Computer Science and Network Security (IJCSNS), Vol. 20, No. 10, pp. 150-157, 2020.
7.	07.Refined Autocorrelation Function for Pitch Detection of Speech September 2019 Md. Saifur Rahman, Yosuke Sugiura and Tetsuya Shimamura, “Refined Autocorrelation Function for Pitch Detection of Speech”, Int. Workshop on Smart Info-Media Systems in Asia (SISA 2019), pp. 72-77, Sep. 2019.
8.	06.A Multiple Functions Multiplication Approach for Pitch Extraction of Noisy Speech October 2019 Md. Saifur Rahman, Yosuke Sugiura and Tetsuya Shimamura, “Pitch Determination of Noisy Speech Using Cumulant Based Modified Weighted Function”, Proc. IEEE TENCON, pp. 1474-1478, Oct. 2018.
9.	05.Detection of multiple failures in wavelength division multiplexed optical network using graph based light path restoration method 2013 Md. Saifur Rahman, Nargis Parvin, Md. Tofael Ahmed, Md. Selim Reza, Halida Homyara and Farhana Enam, “Detection of multiple failures in wavelength division multiplexed optical network using graph based light path restoration method”, International Journal of Engineering Research and Applications (IJERA), Vol. 3, No. 1, pp. 1398-1406, 2013.
10.	04.Pitch Determination of Noisy Speech Using Cumulant Based Modified Weighted Function October 2018 Md. Saifur Rahman, Yosuke Sugiura and Tetsuya Shimamura, “Pitch Determination of Noisy Speech Using Cumulant Based Modified Weighted Function”, Proc. IEEE TENCON, pp. 1474-1478, Oct. 2018.
11.	03.Time-Frequency representation of a Signal through Non-Stationary Multipath fading Channel May 2012 Md. Zahangir Alam, Md. Saifur Rahman, Mrs. Nargis Parvin, and M. Abdus Sobhan, “Time-Frequency representation of a Signal through Non-Stationary Multipath fading Channel”, IEEE/OSA/IAPR Int. Conf. on Informatics, Electronics & Vision, May 2012.
12.	02.Performance Evaluation of a Reed-Solomon Encoded Multi-user Direct Sequence Code Division Multiple Access (DS-CDMA) Communication System 2010 Nargis Parvin, Farhana Enam, Sheikh Enayet Ullah and Md. Saifur Rahman, “Performance Evaluation of a Reed-Solomon Encoded Multi-user Direct Sequence Code Division Multiple Access (DS-CDMA) Communication System”, International Journal of Computer and Network Security, Vol. 2, N0. 5, 2010.
13.	01.Wavelet Denoising Approach Using Fourth Order Moment to Remove Wireless Random Noise May 2012 Md. Zahangir Alam, Md. Saifur Rahman, Mrs. Nargis Parvin, and M. Abdus Sobhan, “Wavelet Denoising Approach Using Fourth Order Moment to Remove Wireless Random Noise”, IEEE/OSA/IAPR Int. Conf. on Informatics, Electronics & Vision, May 2012.